Tracking moving objects from image sequences obtained by a moving camera is a difficult problem since there exists apparent motion of the static background. It becomes more dif...
We present a probabilistic framework for component-based automatic detection and tracking of objects in video. We represent objects as spatio-temporal two-layer graphical models, w...
Leonid Sigal, Ying Zhu, Dorin Comaniciu, Michael J...
A novel de-interlacing algorithm is proposed to accomplish high quality video format conversion. In the proposed scheme, bi-directional motion estimation (ME) is performed between ...
Yoon Kim, Kang-Sun Choi, Jae-Young Pyun, Byung-Tae...
Background: With the rapid emergence of RNA databases and newly identified non-coding RNAs, an efficient compression algorithm for RNA sequence and structural information is neede...
Qi Liu, Yu Yang, Chun Chen, Jiajun Bu, Yin Zhang, ...
Abstract. This paper proposes a local motion-based approach for recognizing group activities in soccer videos. Given the SIFT keypoint matches on two successive frames, we propose ...